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Record W1995540862 · doi:10.1002/da.20138

The Illness/Injury Sensitivity Index: an examination of construct validity

2006· article· en· W1995540862 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDepression and Anxiety · 2006
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsConstruct validityIndex (typography)PsychologyClinical psychologyConstruct (python library)PsychiatryMedicinePsychometricsComputer science

Abstract

fetched live from OpenAlex

The 11-item Illness/Injury Sensitivity Index [ISI; Taylor, 1993: J Behav Ther Exp Psychiatry 24:289-299] measures fears of injury and illness and has the potential to delineate some mechanisms underlying anxiety-associated chronic health conditions. In a principal components analysis in 2005, Carleton et al. [2005a: J Psychopathol Behav Assess 27:235-241] indicated that a two-factor solution (Fear of Injury and Fear of Illness) best explained the structure of the ISI. The primary purpose of this study was to examine the structural and construct validity of the ISI. Results supported a two-factor solution after removal of two overinclusive items. Although the measure demonstrated good factorial validity, convergent and discriminant validity require further evaluation. In addition, a substantial correlation with fear of pain suggests a shift in our perspective on what constitutes a fundamental fear. Future research implications are discussed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score0.176

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.266
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it